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The Ibis Project aims to drastically simplify grid programming and deployment, providing easy-to-use and efficient wall-socket computing over a distributed set of resources. This project addresses performance, scalability, heterogeneous environments, low-level programming interfaces, connectivity issues, fault tolerance, and malleability.
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The Ibis Project:Simplifying Grid Programming & DeploymentHenri Bal, Jason Maassen, Rob van Nieuwpoort, Thilo Kielmann, Niels Drost, Ceriel Jacobs,Frank Seinstra, Roelof Kemp, Kees VerstoepVrije Universiteit Amsterdam
The ‘Promise of the Grid’ Efficient and transparent (i.e. easy-to-use) wall-socket computing over a distributed set of resources [Sunderam ICCS’2004, based on Foster/Kesselman]
Reality: ‘Problems of the Grid’ • Performance & scalability • Heterogeneous • Low-level & changingprogramming interfaces • writing & deploying grid applications is hard • Connectivity issues • Fault tolerance • Malleability ! User Wide-Area Grid Systems
The Ibis Project • Goal: • drastically simplify grid programming/deployment • ``Grids as promised’’
Approach • Minimal assumptions about execution environment • Virtual Machines (Java) deal with heterogeneity • Use middleware-independent APIs • Different programming abstractions • Designed for dynamic/hostile grid environments • Modular and flexible: can replace Ibis components by external ones
Grid programming • Programming models: • Message passing (RMI, MPJ) • Divide-and-conquer (Satin) • IPL (Ibis Portability Layer) • Java-centric “run-anywhere” library, sent with application • Can handle fault-tolerance, malleability • SmartSockets • Solve connectivity problems automatically (firewalls, NAT, addressing problems)
Grid deployment • JavaGAT: Java Grid Application Toolkit • Make applications independent of underlying grid • Used for file copying, resource discovery, job submission & monitoring, user authentication • API is currently standardized (SAGA) • Zorilla P2P system • Job management, gossiping,clustering, flood scheduling
Ibis applications • e-Science (VL-e) • Brain MEG-imaging • Mass spectroscopy • Multimedia content analysis • Video processing • Many HPC applications • SAT-solver, N-body, grammar learning, ….
Grid’5000 European users • D-Grid: Workflow engine for astronomy • U. Erlangen: grid file system • INRIA: ProActive on Ibis RMI • U. Patras: Jylab scientific computing • UPC Barcelona: Grid Superscalar • HITACHI: Peta-scale data management
DAS-3 272 nodes(AMD Opterons) 792 cores 1TB memory LAN: Myrinet 10G Gigabit Ethernet WAN (StarPlane): 20-40 Gb/s OPN See CCGrid’08 session 11 (Verstoep)
Gene sequence comparison in Satin (on DAS-3) Speedup on 1 cluster Run times on 5 clusters • 78% efficiency on 5 clusters (with 1462 WAN-msgs/sec)
Multimedia content analysis • Analyzes video streams to recognize objects • Extract feature vectors from images • Describe properties (color, shape) • Data-parallel task • Compute on consecutive images • Task-parallelism on a grid See CCGrid’08 SCALE challenge & sessions 12+16
High Resolution Video Processing Realtime processing of CineGrid movie data 3840x2160 (4xHD) @ 30 fps = 1424 MB/sec Multi-cluster processing pipeline Using DAS-3, StarPlane and Ibis
Summary • Goal: Simplify grid programming/deployment • Key ideas in Ibis • Virtual machines (JVM) deal with heterogeneity • High-level programming abstractions (Satin) • Handle fault-tolerance, malleability, connectivity problems automatically (Satin, SmartSockets) • Middleware-independent APIs (JavaGAT) • Modular
Future work? • Clouds as promised (CCGrid’09 Shanghai) • Exaflop as promised (CCGrid’10 Melbourne) • Cold fusion as promised • Stock market prediction as promised • Indiana Jones 5 as promised (2032?)
More information • Ibis can be downloaded from • http://www.cs.vu.nl/ibis • Papers: • Satin [PPoPP’07], SmartSockets [HPDC’07], Gossiping [HPDC’07], JavaGAT [SC’07],MMCA [IEEE Multimedia’07, CCGrid’08],DAS-3/StarPlane [CCGrid’08] • Ibis tutorials • CCGrid’08